AntonioLonga

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-graph-explainability-papers

Papers about explainability of GNNs

Awesome-DynamicGraphLearning

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

DiGress

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

PyDGN

A research library for automating experiments on Deep Graph Networks

hypergraphx

HGX is a multi-purpose, open-source Python library for higher-order network analysis

TGB

Temporal Graph Benchmark project repo

GraphXAI

GraphXAI: Resource to support the development and evaluation of GNN explainers

awesome-explanatory-supervision

List of relevant resources for machine learning from explanatory supervision

neurips2023_learning_on_graphs

List of papers on NeurIPS2023

WWL

Wasserstein Weisfeiler-Lehman Graph Kernels

ACM-GNN

NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

GraphSVX

Explanation method for Graph Neural Networks (GNNs)

gdl_tutorial_turinginst

Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute

Awesome-Temporal-Graph-Learning

Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).

TagGen

A Data-Driven Graph Generative Model for Temporal Interaction Networks

graphframex

GraphFramEx: a systematic evaluation framework for explainability methods on GNNs

GNNkeras

keras implementation for Graph Neural Network model

wcde

Implementation of the Web Cache Deception detection methodology presented in the paper "Web Cache Deception Escalates!"

gnn_logic_global_expl

Official repository of GLGExplainer (ICLR2023)

Bagel-benchmark

ETNgen

ETNgen: A temporal graph generator based on Egocentric Temporal Motifs

gnn-explainability

tigger

Code and datasets of AAAI'22 paper "TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs" . To be appear in AAAI-2022

Data4TGC

G-DynaDist

gisst

Graph Neural Networks Including Sparse Interpretability

AHK

Implementation of the naive histogram AHK model

twitter_stance_conversation_context

TwitterVax

TwitterVax is a collection of 9'068'389 italian tweets on vaccines tweeted from 1st January 2019 to 1st June 2022. TwitterVax also contains a set of 41 Retweet-Networks in which each user has been classified as No-vax or Pro-vax.